Woo‐Suk Tae

4.6k citations
131 papers · 3.3k · h-index 32

Impact in

Papers in

Woo‐Suk Tae

127 papers receiving 3.3k citations

Peers

Woo‐Suk Tae
Comparison fields: 5 of 110
  • Biological Psychiatry 177
  • Cognitive Neuroscience 1.2k
  • Psychiatry and Mental health 767
  • Behavioral Neuroscience 146
  • Endocrine and Autonomic Systems 183
Replace Andrea Parolin Jackowski with:
Andrea Parolin Jackowski Brazil
Dieter Ebert Germany
Marco L. Loggia United States
Fabrizio Piras Italy
Muriel Walshe United Kingdom
Koji Matsuo Japan
Mayuresh S. Korgaonkar Australia
Ralf G.M. Schlösser Germany
Ronald Pierson United States
Katherine E. Prater United States
Woo‐Suk Tae relative to Andrea Parolin Jackowski Brazil Andrea Parolin Jackowski's profile →
Citations per field
00.5×3.0×
Andrea Parolin Jackowski · 1×
Citations per year

Countries citing papers authored by Woo‐Suk Tae

Since Specialization
Citations

This map shows the geographic impact of Woo‐Suk Tae's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Woo‐Suk Tae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo‐Suk Tae more than expected).

Fields of papers citing papers by Woo‐Suk Tae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo‐Suk Tae. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Woo‐Suk Tae. The network helps show where Woo‐Suk Tae may publish in the future.

Co-authors

The 25 scholars most cited alongside Woo‐Suk Tae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Woo‐Suk Tae Line = papers co-authored together Woo‐Suk Tae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008206
2 2018203
3 2010175
4 2000138
5 2014108
6 2014102
7 200492
8 201181
9 200277
10 201671
11 201167
12 200565
13 201763
14 200761
15 200560
16 201659
17 200659
18 200455
19 201954
20 200653

About Woo‐Suk Tae

Woo‐Suk Tae is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Neurology, having authored 131 papers that have together received 3.3k indexed citations. Recurring topics across this work include Epilepsy research and treatment (20 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Functional Brain Connectivity Studies (19 papers), Neuroscience and Neuropharmacology Research (11 papers), Sleep and Wakefulness Research (9 papers), Neurological disorders and treatments (8 papers), Advanced MRI Techniques and Applications (8 papers) and Bipolar Disorder and Treatment (7 papers). The work is most often cited by research in Biological Psychiatry (177 citations), Cognitive Neuroscience (1.2k citations), Psychiatry and Mental health (767 citations), Behavioral Neuroscience (146 citations) and Endocrine and Autonomic Systems (183 citations). Woo‐Suk Tae has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Seung Bong Hong, Eun Yeon Joo, Byung‐Joo Ham, Kyu‐Man Han, Eunsoo Won, Sung‐Bom Pyun, June Kang, Sun Jung Han, Eui‐Cheol Nam and Seung‐Chyul Hong. Their work appears in journals such as Journal of Affective Disorders, Scientific Reports, Neuroradiology, Journal of Neurology and Journal of Neuroimaging.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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